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Record W1998123234 · doi:10.1177/107424840100600308

Reactive Oxygen Species and Endotoxic Shock: Effect of Dimethylthiourea

2001· article· en· W1998123234 on OpenAlexaff
Uttara Pattanaik, Kailash Prasad

Bibliographic record

VenueJournal of Cardiovascular Pharmacology and Therapeutics · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiac Ischemia and Reperfusion
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAntioxidantContractilitySuperoxide dismutaseGlutathione peroxidaseReactive oxygen speciesMalondialdehydeCardiac function curveCreatine kinaseMedicineCatalasePharmacologyShock (circulatory)Internal medicineEndocrinologyBiochemistryChemistryHeart failure

Abstract

fetched live from OpenAlex

The effects of endotoxemia on the cardiac function and contractility, oxygen radical production by polymorphonuclear leukocytes (PMNL-CL), cardiac antioxidant reserve (LV-CL), antioxidant enzymes (superoxide dismutase [SOD], catalase, glutathione peroxidase [GSH-P(X)]) and malondialdehyde (MDA); and plasma creatine kinase (CK) and lactate in the absence or presence of dimethylthiourea (DMTU), an antioxidant, in anesthetized dogs were studied. Dogs were assigned to three groups: group 1, control; group II, endotoxin (ET) (5 mg/kg body wt intravenously), and group III, ET + DMTU (500 mg/kg intravenously). ET produced decreases in the cardiac function and contractility, antioxidant reserve, antioxidant enzymes; and increases in PMNL-CL, cardiac MDA, plasma CK, and lactate. Pretreatment with DMTU attenuated the ET-induced cardiac dysfunction and changes in the cardiac MDA, antioxidant reserve, and antioxidant enzymes, PMNL-CL, and plasma CK and lactate levels. These results suggest that reactive oxygen species may be involved in the deterioration of cardiac function and contractility, and cellular injury during endotoxic shock and that antioxidants may be of value in the treatment of endotoxic shock.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.284
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2001
Admission routes1
Has abstractyes

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